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Copilot AI commented Nov 23, 2025

Created README documentation for UCI Bank Marketing classification analysis comparing standard vs weighted logistic regression for imbalanced classes.

Changes

  • Hero image: ![Overview](reports/BankMarketing_lab_overview.png) at top
  • Overview: UCI dataset, logistic vs weighted logistic regression, improved minority ("Yes") recall
  • Repository structure: File tree documenting data/, notebooks/01_bank_marketing_model.ipynb, reports/, requirements.txt, LICENSE
  • Reproduce: Windows venv + pip workflow, Jupyter notebook launch
  • Attribution: UCI dataset citation (Moro et al., 2014)

The README documents the expected repository structure and workflow for reproducing the analysis.

Original prompt

Write a clear README for a repo: “bankmarketing-modelling-in-python”.
Sections: Overview, Repo structure, Reproduce, Attribution.
Overview: UCI Bank Marketing; Logistic vs Weighted Logistic; weighted model improves minority (“Yes”) recall.
Repo: data/, notebooks/01_bank_marketing_model.ipynb, reports/BankMarketing_lab_overview.png, requirements.txt, LICENSE.
Reproduce: Windows venv + pip; open notebook.
Hero image: Overview


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…d Attribution sections

Co-authored-by: JimmyAung <235006855+JimmyAung@users.noreply.github.com>
Copilot AI changed the title [WIP] Add README for bankmarketing-modelling-in-python repo Add comprehensive README with structure, reproduction, and attribution Nov 23, 2025
Copilot AI requested a review from JimmyAung November 23, 2025 18:27
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